Specialised optimisation for pharmacies

PharmaciesSolutions

Intelligent inventory management for pharmaceutical and wellness retail

AI Platform

One AI platform connects forecasting, replenishment, pricing, and promos—signals flow automatically between modules so orders, prices, and campaigns stay in sync.

99%
Availability
-40%
Excess Inventory
-80%
Emergency Orders
150
Stores Automated
Market landscape

Pharmacy Retail Reality

Pharmacy chains handle thousands of SKUs across OTC medicines, vitamins, supplements, and personal care — each with distinct demand patterns, shelf-life constraints, and dramatic seasonal swings from cold/flu to allergy to summer skincare.

8-15K
SKUs per chain
4+
Seasonal demand peaks
Strict
Expiry windows
Key challenges
1

Health category demand has more variables than any other segment

Seasonal health patterns, weather shifts, media coverage, and emerging wellness trends create demand spikes that are impossible to forecast manually. Promotional mechanics differ across health, beauty, and household categories.

2

Shelf-life management creates daily operational complexity

Vitamins and supplements require careful rotation, seasonal medicines carry high write-off risk, and different categories have shelf-life profiles ranging from weeks to years. Balancing freshness with availability needs automation.

3

Scaling operations across a growing network is our bottleneck

Adding stores multiplies manual planning linearly. Category managers spend most of their time on routine ordering rather than strategic decisions, and staff turnover creates knowledge loss.

How MySales helps

How MySales Optimizes Pharmacy Operations

Our forecasting engine is built for the complexity of pharmacy retail: Go beyond basic reordering with expiry-conscious inventory optimization: Optimize the promotional activities that drive pharmacy retail performance: Designed to scale without proportionally scaling headcount:

1
Granular predictions at the individual SKU, store, and day level for precise inventory planning
2
Weather and seasonal correlation anticipating cold/flu, allergy, and sun care demand shifts weeks ahead
3
Promotional uplift modeling with cannibalization effects across OTC and wellness categories
4
Event and trend detection capturing local demand drivers that manual planning misses
How MySales helps

Implementation for Pharmacy Retail

1

Phase 1: Core Forecasting and Replenishment (Weeks 1-6)

Historical data integration loading sales, promotions, and product data for forecast training
Forecasting engine deployment with pharmacy-specific demand factors (weather, seasonality, shelf-life)
Automated replenishment setup with supplier constraints, delivery schedules, and safety stock rules
Pilot store rollout typically starting with a subset of stores and expanding based on results
2

Phase 2: Full Network Rollout (Weeks 7-14)

Multi-store expansion deploying across the full pharmacy network
Promotional planning integration connecting promotional calendars with demand forecasting
Shelf-life optimization tuning refining expiry parameters based on initial results
Team training transitioning planning staff from manual ordering to exception management
3

Phase 3: Advanced Optimization (Months 4-6)

Promotional uplift refinement with cannibalization modeling across health and wellness categories
Safety stock optimization fine-tuning service levels by product criticality and demand variability
Lost demand analysis identifying revenue lost to stockouts and quantifying improvement opportunities
Performance benchmarking across stores and categories for continuous improvement
Impact delivered

Measurable Results in Pharmacy Retail

On-shelf availability
97-99% service levels for health and wellness products
Stockout reduction
40-60% fewer out-of-stock events on key OTC and wellness lines
Seasonal readiness
demand anticipated weeks before seasonal peaks, preventing reactive ordering
Lost demand recovery
systematic identification and capture of previously missed sales
Impact delivered

Proven at Scale

Apteka 911 logo

Apteka 911 — 1,600+ Pharmacy Locations

MySales supports Apteka 911, one of Ukraine's largest pharmacy chains with over 1,600 locations across 22 regions. At this scale, manual planning is not an option — centralized AI-driven forecasting and replenishment keep shelves stocked across the entire network.

Drogas logo

Drogas — 150 Stores Across Latvia and Lithuania

MySales is also trusted by Drogas, the leading health and beauty retail chain in the Baltics (part of A.S. Watson Group). Key results at Drogas: "Having learned how to work with [MySales] with little human effort involved, you can achieve good results." — Drogas management, 150-store health and beauty chain (Latvia and Lithuania)

4 people manage forecasting and replenishment for 150 stores across two countries and two separate system instances
90%+ regular forecast accuracy and 80%+ promotional forecast accuracy
Optimal inventory levels maintained with consistent on-shelf availability
Store staff freed from ordering to focus on customer service and store operations
8-9 out of 10 rating from Drogas management, citing simplicity and minimal human effort required
Data & integrations

Pharmacy Data Integration

POS and transaction data for sales history and demand pattern analysis
Product master data including shelf-life, category hierarchy, and supplier information
Supplier order systems for automated replenishment with delivery schedule integration
Promotional calendars for planned campaigns, discounts, and supplier co-funded activities
Weather data feeds for seasonal health and wellness demand correlation
Holiday and event calendars for local demand impact modeling
Historical promotional data for uplift and cannibalization analysis
Store-level attributes (location, size, local demographics) for demand differentiation
How MySales helps

Recommended Implementation Sequence

Forecasting — SKU x store x day demand prediction with weather, seasonality, and shelf-life factors Replenishment — Automated ordering with expiry optimization, safety stock, and supplier constraints Promo — OTC and wellness promotional planning with uplift forecasting and cannibalization modeling Month 1: Historical data loaded, forecasting engine trained, pilot stores live Month 3: Full network rollout, stockout reduction visible, expired stock declining Month 6: Full ROI realization with optimized service levels, minimal waste, and lean planning team Ready to optimize your pharmacy operations?

Schedule a demo to see MySales in action with pharmacy-specific shelf-life management and demand forecasting tailored to health and wellness retail.

1

Foundation (Months 1-2)

2

Promotional Optimization (Months 3-4)

3

Success Metrics Timeline